Labor force participation rate for ages 15-24, female (%) (national estimate) - Country Ranking

Definition: Labor force participation rate for ages 15-24 is the proportion of the population ages 15-24 that is economically active: all people who supply labor for the production of goods and services during a specified period.

Source: International Labour Organization, ILOSTAT database. Data retrieved in December 2019.

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Zimbabwe 82.87 2014
2 Iceland 80.98 2018
3 Madagascar 72.92 2015
4 Solomon Islands 71.71 2013
5 Ethiopia 70.85 2013
6 Tanzania 70.42 2014
7 Netherlands 69.79 2018
8 Cambodia 69.52 2016
9 Switzerland 67.63 2018
10 Australia 67.54 2018
11 Denmark 64.05 2018
12 Canada 63.33 2018
13 New Zealand 63.21 2018
14 Mozambique 63.09 2015
15 St. Lucia 60.21 2016
16 Cayman Islands 58.98 2015
17 Central African Republic 57.78 1988
18 Burundi 57.66 2014
19 Chad 56.95 1993
20 Malta 56.31 2018
21 United Kingdom 55.60 2018
22 Sweden 55.43 2018
23 China 55.11 2010
24 Liberia 54.80 2016
25 Finland 54.70 2018
26 Togo 54.66 2015
27 United States 54.52 2018
28 Norway 54.52 2018
29 Austria 53.78 2018
30 Vietnam 53.58 2018
31 St. Kitts and Nevis 53.29 1991
32 Grenada 52.60 1998
33 Seychelles 52.60 2018
34 The Bahamas 52.56 1998
35 Peru 52.42 2018
36 Guinea 51.89 2002
37 Niger 51.29 2014
38 Vanuatu 49.16 2009
39 Brazil 49.00 2018
40 Mali 48.41 2018
41 Japan 48.30 2018
42 Germany 47.83 2018
43 Israel 47.37 2018
44 Benin 47.35 2011
45 Liechtenstein 46.73 2015
46 Paraguay 46.67 2018
47 Antigua and Barbuda 46.28 2001
48 Macao SAR, China 45.85 2016
49 Burkina Faso 45.17 2014
50 Estonia 45.03 2018
51 Ireland 45.02 2018
52 Colombia 44.84 2018
53 Malawi 44.83 2017
54 Barbados 44.79 2016
55 Cameroon 44.70 2014
56 Bolivia 44.13 2018
57 Equatorial Guinea 43.82 1983
58 Kazakhstan 43.77 2008
59 Congo 43.60 2005
60 Kenya 43.44 2016
61 Botswana 42.74 2013
62 Belarus 42.70 2009
63 Myanmar 42.48 2018
64 Uruguay 42.29 2018
65 Qatar 42.04 2018
66 Hong Kong SAR, China 41.93 2016
67 Cyprus 41.80 2018
68 Mauritius 40.98 2018
69 New Caledonia 40.60 2014
70 Honduras 40.42 2018
71 Guyana 40.25 2017
72 Azerbaijan 39.38 2007
73 Dem. Rep. Congo 39.29 2012
74 Papua New Guinea 38.77 2010
75 Greenland 38.36 1976
76 Indonesia 38.18 2018
77 Lesotho 37.79 2013
78 The Gambia 37.24 2012
79 Singapore 36.93 2018
80 Uganda 36.91 2017
81 St. Vincent and the Grenadines 36.90 2001
82 Timor-Leste 36.57 2016
83 United Arab Emirates 36.56 2018
84 Nauru 36.35 2013
85 Malaysia 35.62 2017
86 Brunei 35.46 2017
87 Trinidad and Tobago 35.44 2016
88 Dominica 35.43 2001
89 Belize 35.04 2017
90 Rwanda 35.04 2018
91 Costa Rica 34.96 2018
92 Latvia 34.74 2018
93 Slovenia 34.34 2018
94 Lithuania 34.08 2018
95 France 34.05 2018
96 Thailand 33.97 2018
97 Sierra Leone 33.78 2014
98 Ecuador 33.61 2018
99 Angola 33.27 2014
100 El Salvador 33.04 2018
101 Armenia 32.83 2017
102 Argentina 32.63 2018
103 Ghana 32.57 2017
104 Nicaragua 32.46 2014
105 Georgia 32.40 2018
106 Luxembourg 32.27 2018
107 Dominican Republic 32.25 2017
108 Panama 31.86 2018
109 Cuba 31.81 2008
110 Portugal 31.70 2018
111 Korea 31.61 2018
112 Guatemala 31.18 2017
113 Turkey 31.11 2018
114 Bhutan 31.04 2015
115 Jamaica 30.89 2018
116 Mexico 30.87 2018
117 Spain 30.77 2018
118 Poland 30.73 2018
119 Russia 30.57 2018
120 Chile 30.29 2018
121 Haiti 30.11 2012
122 Ukraine 29.97 2018
123 Bosnia and Herzegovina 29.61 2019
124 Tonga 28.87 1994
125 Croatia 28.82 2018
126 Cabo Verde 28.42 2018
127 Bahrain 27.83 2015
128 Belgium 27.75 2018
129 Lao PDR 27.34 2017
130 Venezuela 27.26 2012
131 Kyrgyz Republic 27.25 2018
132 Hungary 27.21 2018
133 Philippines 27.19 2018
134 Côte d'Ivoire 27.11 2017
135 Montenegro 26.97 2018
136 Fiji 26.96 2016
137 Palau 26.75 2014
138 Nigeria 26.50 2016
139 Namibia 26.43 2018
140 São Tomé and Principe 26.41 1991
141 Bangladesh 26.35 2017
142 Tuvalu 26.32 2016
143 Czech Republic 26.23 2018
144 Samoa 26.21 2017
145 San Marino 26.03 2016
146 Eswatini 24.56 2016
147 Albania 24.52 2017
148 Slovak Republic 24.51 2018
149 Romania 24.17 2018
150 Serbia 23.31 2018
151 Sri Lanka 23.06 2016
152 Senegal 22.98 2015
153 South Africa 22.64 2018
154 North Macedonia 22.48 2018
155 Tajikistan 22.18 2016
156 Mongolia 22.14 2018
157 Italy 21.91 2018
158 Puerto Rico 21.80 2012
159 Suriname 21.69 2015
160 Greece 21.47 2018
161 Nepal 20.29 2017
162 Sudan 20.19 2011
163 Afghanistan 19.85 2017
164 Moldova 19.58 2018
165 Bulgaria 19.30 2018
166 Egypt 18.73 2017
167 Pakistan 18.27 2018
168 Tunisia 18.23 2015
169 Lebanon 18.07 2007
170 Kiribati 17.42 2015
171 Mauritania 16.90 2012
172 Kuwait 16.56 2016
173 Zambia 15.97 2017
174 Gabon 15.93 2010
175 Morocco 15.71 2016
176 Oman 14.07 2016
177 Comoros 12.27 2014
178 Iran 11.98 2018
179 Libya 10.74 2012
180 India 10.06 2018
181 Syrian Arab Republic 9.13 2009
182 Jordan 8.36 1979
183 Saudi Arabia 8.22 2018
184 Algeria 5.15 2017
185 Yemen 4.92 2014
186 Iraq 4.91 2017
187 Guinea-Bissau 3.06 1979

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Development Relevance: Estimates of women in the labor force and employment are generally lower than those of men and are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women's activities are regarded as economic. In many low-income countries women often work on farms or in other family enterprises without pay, and others work in or near their homes, mixing work and family activities during the day. In many high-income economies, women have been increasingly acquiring higher education that has led to better-compensated, longer-term careers rather than lower-skilled, shorter-term jobs. However, access to good- paying occupations for women remains unequal in many occupations and countries around the world. Labor force statistics by gender is important to monitor gender disparities in employment and unemployment patterns.

Limitations and Exceptions: Data on the labor force are compiled by the ILO from labor force surveys, censuses, and establishment censuses and surveys. For some countries a combination of these sources is used. Labor force surveys are the most comprehensive source for internationally comparable labor force data. They can cover all non-institutionalized civilians, all branches and sectors of the economy, and all categories of workers, including people holding multiple jobs. By contrast, labor force data from population censuses are often based on a limited number of questions on the economic characteristics of individuals, with little scope to probe. The resulting data often differ from labor force survey data and vary considerably by country, depending on the census scope and coverage. Establishment censuses and surveys provide data only on the employed population, not unemployed workers, workers in small establishments, or workers in the informal sector. The reference period of a census or survey is another important source of differences: in some countries data refer to people's status on the day of the census or survey or during a specific period before the inquiry date, while in others data are recorded without reference to any period. In countries, where the household is the basic unit of production and all members contribute to output, but some at low intensity or irregularly, the estimated labor force may be much smaller than the numbers actually working. Differing definitions of employment age also affect comparability. For most countries the working age is 15 and older, but in some countries children younger than 15 work full- or part-time and are included in the estimates. Similarly, some countries have an upper age limit. As a result, calculations may systematically over- or underestimate actual rates.

Statistical Concept and Methodology: The labor force is the supply of labor available for producing goods and services in an economy. It includes people who are currently employed and people who are unemployed but seeking work as well as first-time job-seekers. Not everyone who works is included, however. Unpaid workers, family workers, and students are often omitted, and some countries do not count members of the armed forces. Labor force size tends to vary during the year as seasonal workers enter and leave.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: The series for ILO estimates is also available in the WDI database. Caution should be used when comparing ILO estimates with national estimates.